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Paper Citation Record · LEDGER

Adversarial Pragmatics for AI Safety Evaluation: A Diagnostic Framework and Seed Benchmark for Language-Mediated Control

As of 16 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2607.01153.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.01153 v3

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:41:32.747031Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb7c8082-cbc6-4362-9568-3ef3a72e31a4 · outbound

This paper cites Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators.

Adversarial Pragmatics for AI Safety Evaluation: A Diagnostic Framework and Seed Benchmark for Language-Mediated Control Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:41:32.827161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:41:32.734152Z digest=sha256:003cab8a51d92e2492a1ffb6a928a6ae500366c2049f0c86b11333488a4eb6af

Observation 9bc83fde-cafe-4f78-877d-c363074e1e49 · outbound

This paper cites AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents.

Adversarial Pragmatics for AI Safety Evaluation: A Diagnostic Framework and Seed Benchmark for Language-Mediated Control AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T15:41:32.747031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:41:32.747031Z digest=sha256:7e64a515bb9c2dcc7cff381455785a9140b1fe9b3b2abb791e63016a54d49996

Observation 1ffda5fb-2f3c-4939-b3ec-072dfd05e972 · outbound

This paper cites JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.

Adversarial Pragmatics for AI Safety Evaluation: A Diagnostic Framework and Seed Benchmark for Language-Mediated Control JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T15:41:32.741133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:41:32.741133Z digest=sha256:00b395e8cbef0ec9e5022d446a6aec24d9a9f14358343b7826feb36ab7e7f168

Pith citing papers

No inbound Pith citation observations are available.